Research on Error Optimization Method of Interior Trajectory Acceleration Signal
In the process of obtaining interior ballistic motion parameters by shell-borne storage-type acceleration sensors,the acceleration signal collected carries a variety of noises due to the internal power supply ripple and interference from sensors,which leads to a large calculation error.In order to reduce the calculation error,an acceleration signal processing method based on ICEEMDAN was pro-posed.Modal components were denoised according to the Spearman correlation coefficient and fuzzy entropy comprehensive evaluation method,and the acceleration signal was reconstructed based on pro-cessed modal components.The acceleration signal before and after reconstruction was analyzed in time-frequency domain and the filtering effect of various algorithms was compared.The results show that the noise in signals is effectively filtered out,and the signal-to-noise ratio of the acceleration signal pro-cessed by ICEEMDAN algorithm is significantly improved compared with digital filtering,smooth filte-ring,EMD and other algorithms.The average relative error rate of the acceleration signal solution after processing is 2.67%,which is reduced by 9.43%compared with the original solution.Therefore,ICEEMDAN algorithm can effectively reduce the product decomposition error when solving the interior ballistic acceleration signal.
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